Are you holding Master’s degree and ready to elevate your academic journey to the highest level? University of Amsterdam, Netherlands, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
PhD position summary/title:– PhD Candidate in Generative AI for Inverse Design of Molecules and Materials
Designing new molecules and materials is at the core of chemistry, but in practice, creating molecular structures with useful properties is a difficult and time-consuming task, simply because there are so many possibilities of connecting different atoms together to form new molecules, most of which are useless. Optimizing molecules or materials with desired characteristics, such as optimal thermodynamic, electronic, or mechanical properties, usually relies on chemical intuitions combined with trial and error. In the Computational Chemistry group, we develop and combine molecular simulation with machine learning techniques to understand molecular behavior and design molecules and materials with desired properties. In this research project, you will develop and apply geometric learning with generative AI algorithms to predict molecular properties, sample chemical space, and suggest improved molecules and materials, such as catalyst complexes, to our experimental collaborators. Your work will take place at the Van ‘t Hoff Institute for Molecular Sciences (HIMS), one of the research institutes of the University of Amsterdam. You will also be connected with the FNWI AI4Science Laboratory, which is located in the Institute for Informatics (IvI).
Deadline : 01.11.2024
(02) Fully Funded PhD Position
PhD position summary/title:– PhD Position: Urban Landscapes in Late Antiquity
Your PhD project focuses on the dynamic urban culture of the Eastern Roman Empire during Late Antiquity. The research investigates how urban landscapes evolved during this period of significant political, environmental, and/or social transformations. From flourishing urbanisation to the formation of ruined landscapes due to factors such as climate change, epidemics, and political shifts, your project will explore how ancient cities and their inhabitants navigated prosperity and decline.
Your PhD project will employ diverse literary, epigraphic, and material sources, as well as cutting-edge digital tools provided by UvA’s 4D Research Lab, to reconstruct late antique urban landscapes. A key focus will be the interplay between monumentalisation and ruination as markers of collective memory and identity, offering new insights into how cities and their inhabitants experienced urban decay.
Deadline : 25 October 2024
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(03) Fully Funded PhD Position
PhD position summary/title:– PhD Project: Value-Creation with Marginalized Stakeholders
This PhD project will advance knowledge on firms’ inclusion and exclusion of marginalized stakeholders, guided by the overarching research question: ‘What is stakeholder marginalization, and when and how do firms engage marginalized stakeholders in value-creation?’ Marginalized stakeholders are stakeholders that are to some degree invisible to managers due to low physical, social, and/or psychological proximity, and that have limited opportunity to decide whether and how to participate in firm-led activities. Such stakeholders are, for example, stakeholders who are subject to negative externalities, are associated with vulnerable social identities, belong to lower social classes, or are stigmatized due to their physical disabilities, mental health conditions, or sexual orientations. While scholars have suggested that engaging with marginalized stakeholders may enable firms to identify new opportunities for sustainable value-creation and social innovation, little is currently known about how firms deal with the inherent challenges of achieving this.
To address this research gap, the PhD research will perform two main studies. The first study involves a comprehensive literature review that synthesizes existing research on stakeholder marginalization that currently is largely fragmented across disciplinary fields. The second study will be a longitudinal, in-depth investigation of one or more firms engaging marginalized stakeholders in value-creation. The purpose of this study is to observe, map, and interpret challenges associated with ‘de-marginalizing’ stakeholders and uncover how these are linked to strategic outcomes for firms. The PhD project will draw from, and contribute to, stakeholder theory but also benefit from integrating theoretical perspectives from development studies, business ethics, and strategy. An elaborate description of the project, including a brief literature review and outline of its methodology and societal relevance, can be found here: https://doi.org/10.6084/m9.figshare.26236412.v2. The PhD candidate is expected to proactively drive and shape the project and there is flexibility in terms of how to carry it out.
Deadline : 30 september 2024
(04) Fully Funded PhD Position
PhD position summary/title:– PhD Position in Children’s Media and Diversity
Are you looking for a challenging position in a dynamic setting? The Amsterdam School for Cultural Analysis (ASCA) currently has a vacant PhD position as part of the Children’s Media and Diversity project led by principal investigators Dr. Balazs Boross and Dr. Rik Spanjers. ASCA is one of the five Research Schools within the Amsterdam Institute for Humanities Research (AIHR).
The PhD fellow will be part of ASCA, one of the five Research Schools within the Amsterdam Institute for Humanities Research (AIHR) and the Media Studies department. ASCA is a research community devoted to the comparative and interdisciplinary study of culture (in all its forms and expressions) from a broad humanities perspective. ASCA is home to more than 120 scholars and 160 PhD candidates, and is a world-leading international research school in Cultural Analysis. ASCA members share a commitment to working in an interdisciplinary framework and to maintaining a close connection with contemporary cultural and political debates.
Deadline : 5 november 2024
(05) Fully Funded PhD Position
PhD position summary/title:– Two PhD Positions: ‘Social Policy Preferences, Vote Choice and Trust’
The Department of Political Science of the University of Amsterdam is hiring two PhD-students in a research project funded by the Dutch Research Council (NWO), titled ‘Social policy preferences, vote choice and trust’. Both PhD-projects are co-supervised by dr. Gianna Eick, dr. Armen Hakhverdian, and prof. dr. Wouter van der Brug.
Public opinion research reveals that large majorities of citizens in advanced democracies are in favor of more economic equality. And yet, in many countries parties who champion redistribution from the rich to the poor have fallen on hard times. The mismatch between public preferences for more egalitarian politics and the decline of parties with more egalitarian agendas has received ample scholarly attention. Some argue that the electoral decline of the left is due to the adoption of Third Way politics in the 1990s, while others focus on the politicization of socio-cultural issues such as immigration.
Yet, it is unlikely that this is the full story. At present, the literature does not provide a satisfactory solution to the puzzle of why many citizens prefer more egalitarian distributions of income and wealth, while at the same time opposing specific welfare state arrangements. And, while many researchers have linked general redistributive attitudes to vote choice, there is very little research into specific social policy preferences and voting behavior. We believe trust plays a pivotal role in understanding this matter. Voters who distrust either the political actors and state institutions (such as parties, parliament or bureaucrats) that are designed to govern welfare state arrangements, or voters who distrust other citizens (and thus think that they are likely to abuse welfare state arrangements) are unlikely to support left-wing policies and parties, even if they are in favor of more economic egalitarianism.
The NWO-project consists of two PhD-projects, one focusing on social policy preferences as the dependent variable, and one on vote choice as the dependent variable. Both PhD-projects cover Western European countries with a specific focus on the Netherlands. The PhD-candidates work within the overall framework of the project but are expected to develop their own ideas for data collection and analysis. Both PhD-projects will field original (panel) surveys with embedded experiments. The surveys will also contain batteries of items related to specific welfare arrangements, which allow for more precise measurement of our key concepts. Both projects will pay particular attention to the effects across different social status groups, including class, income and education, and generational differences, since previous research has, for different reasons, found that welfare attitudes are weakly structured among economically marginalized and younger populations.
Deadline : 14 October 2024
(06) Fully Funded PhD Position
PhD position summary/title:– PhD Position: Nanophotonic Metasurfaces for “Designer” Building-integrated PV Panels
Are you a highly motivated physicist with a strong interest in nanotechnology and photovoltaics? The 2D Nanophotonics group within the Institute of Physics is seeking an ambitious PhD candidate to perform fundamental research at the interface of nanophotonics and photovoltaic material physics for the project High-efficiency metasurfaces for “designer” building-integrated PV.
Integrating large-scale photovoltaics (PV) in densely populated areas poses an urgent need to integrate PV with existing buildings and infrastructure. However, large-scale building-integrated PV (BIPV) hinges on social acceptance, which is strongly improved if the visual appearance of the PV panels matches that of the surrounding structures. Optical coatings that alter the visual appearance provide a unique opportunity to manipulate the reflected spectrum of a solar panel using reflective filters or luminescent coatings. Initial demonstrations prove promising, but are typically inefficient, provide only partial colouring, or exhibit a strong angle-dependence.
Recently, nanophotonic metasurfaces have emerged as a unique tool to control the spectral, angular, and polarization state of optical wavefronts. By leveraging resonant light scattering in such local metasurfaces, the visual appearance of underlying PV modules can be manipulated.
In this project you will study the interplay of different resonant effects and use this to develop a design route for new metasurfaces that provide on-demand visual appearance for the underlying solar panels. The project will combine computer simulations, nanofabrication, optical experiments, as well as integration of the coatings on existing photovoltaic modules.
You will be joining an exciting team of researchers with a strong emphasis on collaboration. We expect you to be an active member of the research group and work closely with the other researchers on this project.
Deadline : 30 September 2024
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(07) Fully Funded PhD Position
PhD position summary/title:– PhD Position in Architectural History and Heritage Studies
You will work on your own research project as part of the research team ‘Concrete Colonialism: Architecture and Heritage in Indonesia around Independence’. We use a material lens to examine the built environment and heritage formation before, during, and after the transition to independence in Indonesia. Our team sets out to examine the local and transregional networks of fabrication, production, distribution, use and decay of building materials, with a specific focus on concrete.
The PhD project can take different approaches, including (but not limited to):
- A material lens: examining the manufacturing and distribution of concrete, for example by the Nederlands-Indische Portland Cement Maatschappij. Another focus could be the perception of concrete in relation to colonialism and independence, possibly in relation to other building materials.
- A network analysis: researching the activities of, for example, one or more building companies, such as the Hollandse Beton Maatschappij active in Indonesia. This approach may involve the use of digital mapping technologies, such as GIS.
- A comparative lens: investigating local, regional or transnational exchanges building materials, knowledge of building construction or/and labour through a comparative study.
Deadline : 15-10-2024
(08) Fully Funded PhD Position
PhD position summary/title:– PhD in Stochastics and Optimization
This PhD research initiative aims to develop queueing models to model waiting time to healthcare services in developing countries, and then develop optimization methods to solve the final nonlinear optimization model. Moreover, it could be the case that discrete-event simulation is needed to calculate the waiting time. One of the options could be to use Machine Learning for Model Learning. Moreover, the aim is to combine the facility location problem with the capacity problem (queueing models). More precisely, you will develop an optimization method to optimize both the number and locations of the facilities, and the capacities, such that the overall time to treatment (travel time + waiting time) is minimized and the costs are less than the available budget. Our partnerships with many NGO’s provide us with access to pertinent data for this research. Visits to healthcare services in one or more of the developing countries are possible, but are not compulsory.
Deadline : 1 November 2024
(09) Fully Funded PhD Position
PhD position summary/title:– PhD Position in Experimental Physics
Do you enjoy working in an interdisciplinary research setting and are you interested in the intersection between nanophotonics and heat transfer? The Light Matters group within the Institute of Physics has an open position for the project “Photonic thermal conduction in metamaterials”. The aim is to develop metasurfaces where thermal conduction is dominated and manipulated by light.
Heat transfer processes like conduction are crucial to many challenges, including energy generation and industrial process efficiencies. Open any physics textbook and you will find that heat conduction within materials is due to the flow of electrons and phonons. However, scientists have very recently demonstrated that in thin films photons can play a significant role in the conduction of heat. In this project you will develop experimental and theoretical methods to study thermal conduction in optically thin (meta)materials, and apply those methods to demonstrate novel heat transfer effects dominated by optical fields rather than phonons or electrons.
By joining the PhD program, you will become part of a diverse group of people with different scientific backgrounds, nationalities, and expertise. By the end of your PhD, you will have become an independent scientist, capable of working effectively in a team, and with excellent communication skills. We take great pride in the growth and development of our students.
Deadline : 31 October 2024
(10) Fully Funded PhD Position
PhD position summary/title:– PhD Researcher – Boosting Private Law Remedies in the Economy of Data
We are inviting proposals for a PhD project that explores the intricate domain of private law remedies within data law, examining how different legal frameworks can ensure robust protection. What private law remedies are available within the current legal frameworks in case of data protection breaches and what type of legal framework might help to ensure effective remedies?
While Article 82 of the General Data Protection Regulation (GDPR) opens the door to private remedies in the data economy, there is still a critical gap in both scholarship and case law as to how private enforcement can contribute to safeguarding data protection rights. The project aims to answer the question of how the private law remedies, or the legal framework shaping such remedies, should be rethought to ensure effective remedies for individuals faced with data protection breaches, while accounting for the broader societal implication of structural abuse of data-processing, in light of the societal and structural dimension of online harms.
Deadline : 15 november 2024
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(11) Fully Funded PhD Position
PhD position summary/title:– PhD Position in Green-and-Explainable Machine Learning
There is growing concern that black-box Machine Learning is not always suitable as its explainability is limited and its energy consumption might be prohibitively expensive. Both issues are interrelated, as enhancing the explainability of ML (ensuring that decisions made by ML are sufficiently motivated to humans by that same ML) may require more complex ML models or additional steps – such as local approximations with an interpretable model or simulations of “what if” scenarios, thus leading to increased energy consumption. Conversely, recent comprehensive research into explainable-by-design deep learning systems indicates that feed-forward neural architectures are intrinsically suitable for explainability, at the cost of worsened classification metrics (accuracy).
Thus, it is important to understand to what extent explainable ML, accurate ML, and reducing the energy consumption of ML could be simultaneously optimised. This way, we can establish best practices to guide ML developers in the implementation of ML models and users in the selection of ML tools that are accurate, explainable, and energy-efficient at the same time.
Deadline : 30 September 2024
(12) Fully Funded PhD Position
PhD position summary/title:– PhD Position on Optical Atomic Clocks
You will work on two projects. You and the QDNL team will design and build a highly reliable optical lattice clock, based on our AQuRA project. With our partners from VSL and VU, we will distribute the frequency reference of this clock through fibre links across the Netherlands and ultimately Europe. In parallel, you and the QDNL team will create continuously operating optical clocks (a superradiant clock and a zero-deadtime, multi-ensemble clock). Such a clock should ultimately be able to average down to a precision of 10^-18 in minutes instead of the hours needed by todays clocks. This benefit will unlock new possibilities from fundamental science to society.
Deadline : 31 March 2025
(13) Fully Funded PhD Position
PhD position summary/title:– PhD Position in Experimental Physics: Nanophotonics with 2D Quantum Materials
Are you a highly motivated physicist interested in a PhD project at the intersection between nanophotonics and 2D material science? The 2D Nanophotonics group within the Institute of Physics has an open position for the project “Excitonic 2D metasurfaces for active multifunctional flat optics”. The aim is to employ exciton resonances in monolayer 2D semiconductors to actively tune the optical response of metasurfaces.
Optical metasurfaces offer ultra-flat and compact alternatives to conventional bulky optical elements like mirrors, lenses, and prisms. By accurate engineering of the resonant light-matter interaction of arrays of nanostructures, light can be scattered in a controlled fashion to perform an optical function. While such optical metasurfaces are nowadays highly efficient and well established, their optical function is typically static.
In this project you will study the strong light-matter interactions of stable excitons in monolayer 2D semiconductor material and couple these materials to resonant metasurfaces. Using their combination, you will investigate the unique properties of these 2D quantum materials and use them to develop multifunctional and atomically thin optical elements with an electrically tunable optical function.
You will be joining an exciting team of researchers with a strong emphasis on collaboration. We expect you to be an active member of the research group and work closely with the other researchers on this project.
Deadline : 31 October 2024
(14) Fully Funded PhD Position
PhD position summary/title:– PhD in Developing Single-photon Emitters from 2D Semiconductors for Quantum Photonic Applications
Aim of the PhD project is to develop defect-based single-photon emitters in 2D semiconductors, and couple those via photonic resonators and waveguides to photonic circuits. Recent progress in the light-matter interaction of 2D materials, specifically the light emission from transition metal dichalcogenides (TMDCs), has revealed their great potential as single-photon emitters. The single-photon emission is related to defects, which can be induced in a controlled way via strain fields; yet, the defect nature and origin of light emission remain unclear.
Furthermore, their exploration as quantum emitters for on-chip photonic applications requires electrical tunability, high purity, and high signal-to-noise ratio, which needs signal improvement via coupling to photonic resonators. In this project, we will build microscale 2D devices, investigate defect-related single-photon emission, and implement nanophotonic design to enhance the emission and outcouple it into photonic circuits. The research will be carried out in an inspiring cross-disciplinary collaboration between the Nanomaterials and 2D Nanophotonics labs of Prof. P. Schall and J. van de Groep at UvA, and the Optoelectronic and Nanophotonics labs of Prof. L. Siebbeles and K. Kuipers at TU Delft.
You will develop single-photon emitters by stamping large-scale exfoliated TMDCs on nanopatterned surfaces to create controlled strain fields. These nanopatterns will be prepared at the nearby Nanolab. You will investigate the defect and emitted light on a single-emitter level using optical and Raman microscopy at UvA, as well as on an ensemble level using time-resolved optical and terahertz spectroscopy at TU Delft. A postdoc at UvA will work on the complementary topic of electrically tunable emitter devices. After obtaining insight into the nature of the defect-related emission, you will add nanophotonic design to enhance the emission and outcouple it into optical waveguides. Coupling to cavities can drastically enhance the emission via the Purcell effect, while waveguides will serve to couple the light into photonic circuits. There will be another post-doc at TU Delft to help with the nanophotonic design and its implementation.
Deadline : 15 October 2024
(15) Fully Funded PhD Position
PhD position summary/title:– PhD Position: Abrahamic Entanglements: Intersections of Religion and Philosophy
Are you looking for a challenging position in a dynamic setting? The Amsterdam School of Historical Studies (ASH) currently has a vacant PhD position as part of the starting grant Abrahamic Entanglements: Intersections of Religion and Philosophy in the First Millennium CE, led by principal investigators Dylan Burns and Liana Saif. The ASH is one of the five Research Schools within the Amsterdam Institute for Humanities Research (AIHR).
The capacity group Religious Studies/Hermetica (part of the department of History, European Studies, and Religious Studies/Hermetica) has deep expertise in the history of study of religion, spirituality and esotericism, and their manifestations in contemporary society, with a developing specialisation in Islam. The Center for the History of Hermetic Philosophy and Related Currents, which hosts five full-time, internationally renowned specialists in the study of esotericism and the occult sciences from antiquity to the present day, is embedded in this capacity group. Students at Religious Studies/Hermetica thus are afforded terrific opportunities to learn about these topics in Amsterdam, and to partake of the manifold resources offered by other Dutch universities in the area (such as the Vrije Universiteit, Utrecht, and Leiden) in the study of religion, philosophy, and culture in antiquity and the Middle Ages.
Deadline : 24 oktober 2024
(16) Fully Funded PhD Position
PhD position summary/title:– PhD Position on Cooperation through Reputation in Multi-agent Reinforcement Learning
Have you always wanted to design artificial agents that learn how to cooperate with each other? Are you passionate about developing AI systems where prosociality prevails? Do you enjoy working in an international and interdisciplinary research setting, at the interface of computer science, artificial intelligence, evolutionary biology, and game theory? If so, we have the right position for you! We are looking for an ambitious doctoral student to join the project “Reputation as a new route to cooperation in multi-agent reinforcement learning”, at the Informatics Institute of the University of Amsterdam.
Altruistic cooperation requires that individuals incur a cost to provide a benefit to others. This has raised questions in many disciplines, from evolutionary biology to economics: Why did altruistic cooperation evolved through natural selection? How to explain and incentivise human cooperation in economic games? In Artificial Intelligence (AI), particularly in the sub-field of multi-agent systems, altruistic cooperation also poses unresolved questions: How to design a system where artificial agents autonomously learn to cooperate? Answering this question is fundamental to design socially intelligent AI and agents that can cooperate with others and humans. With this project we will explore the opportunities and challenges of considering reputation systems as a tool for cooperation in complex multi-agent reinforcement learning environments.
This project will resort to mathematical and computational tools such as reinforcement learning, agent-based simulations, (evolutionary) game theory and stochastic processes analysis.
Deadline : 2 October 2024
(17) Fully Funded PhD Position
PhD position summary/title:– PhD Candidate in Neural network-based modeling for molecule and material design
This project focuses on developing and applying a state-of-the-art computational framework for studying electro-catalytic reactions and designing improved catalyst materials.
You will:
- develop a protocol for setting up, training, and applying neural network potential based molecular dynamics simulations for catalyst screening;
- develop and apply machine learning techniques, e.g. based on “Collective Variable Free Sampling of Molecular Transition Paths”, to obtain reaction free landscapes;
- improve the integrated models for investigation of electron and proton transfer reactions at catalyst materials;
- propose new catalyst materials, working conditions, and experiments to our collaborators.
Deadline : 04 october 2024
(18) Fully Funded PhD Position
PhD position summary/title:– PhD position in Bioinformatics of the Microbiome
Are you fascinated by the microbiome and its interaction with the human host? Microbiome research has flourished in the last decade, thanks in no small part to the relative ease with which large volumes of metagenomics sequencing data can be generated. Bioinformatics method development has advanced, but to this date, the human microbiome is mostly studied in terms of ‘who’s there’, followed by indicators of microbial metabolism and some specific molecular classes, such as antibiotics resistance. Long-standing biomedical knowledge says that an important part of the interaction between microbes and especially with hosts are determined by structural interactions, but this has been all but ignored. State of the art bioinformatics methods can tackle this challenge! Do you want to address this oversight with us?
In this PhD project, the objective is to develop and extend bioinformatics methods that can mine metagenomic sequencing datasets for features that are related to the physical interaction with human cells, and particularly the immune system. For this, you will make use of classical bioinformatics and machine learning approaches to detect features of interest in sequence and protein structural data. Having applied your new methods to metagenomics data, you will also test what kind of statistical considerations are important for interpreting the results.
The advertised position is under the supervision of dr. Anna Heintz-Buschart of the Biosystems Data Analysis group at the Swammerdam Institute for Life Sciences at the University of Amsterdam (UvA). The group has a broad profile in bioinformatics, multivariate statistics and modelling with a growing focus on microbiome research, for example in lively collaborations within UvA’s research priority areas Personalized Microbiome Health and System Biology Host-Microbiome Interaction and the Dutch Holomicrobiome Initiative.
Deadline : 29.09.2024
(19) Fully Funded PhD Position
PhD position summary/title:– PhD Position in Quantum Materials under Extreme Conditions
The group has broad experience with optical spectroscopy of cuprate superconductors and charge density wave materials and this will help you to quickly get started with new experiments that probe these materials in unexplored territory. Your project starts with an investigation of cuprate high Tc superconductors at extreme high temperatures to search for a crossover from strange to bad metal behavior. After this initial training period, you will be in the opportunity to develop new instruments in the optics lab or go for advanced experiments at international facilities such as ESRF in Grenoble or the HFML in Nijmegen. If you’re excited to learn how to use advanced optical spectroscopies to study fascinating classes of quantum materials in a world-class scientific and cultural setting, then this could be the job for you.
Deadline : 4 Oct 2024
(20) Fully Funded PhD Position
PhD position summary/title:– PhD in Adaptive and AI-based Reliability Techniques for Complex IoT-based Systems
The rapid expansion of the Internet of Things (IoT) has led us into the era of smart interconnected heterogeneous devices, advancing fields such as smart cities, healthcare etc. However, this growth has introduced complex challenges in maintaining reliability and resilience across diverse IoT systems. These systems, characterized by their heterogeneous components and dynamic environments, need advanced solutions to address reliability threats that impact their resilience, performance, and longevity.
The theme of this research is to ensure efficient and reliable services for IoT systems composed of unreliable heterogeneous components operated by battery. The focus is on developing novel techniques across hardware and software layers to ensure reliable and efficient design of heterogenous and distributed IoT platforms.
This includes leveraging adaptive AI for cross-layer reliability modeling and optimization and exploiting machine learning to create self-aware solutions for the above problems. By utilizing predictive modeling, machine learning, and adaptive optimization techniques, this research seeks to provide a holistic approach that ensures sustained performance and reliability over time, addressing the inherent unpredictability and variability in IoT environments.
Deadline : 15 October 2024
About University of Amsterdam, Netherlands –Official Website
The University of Amsterdam is a public research university located in Amsterdam, Netherlands. The UvA is one of two large, publicly funded research universities in the city, the other being the Vrije Universiteit Amsterdam (VU). Established in 1632 by municipal authorities and later renamed for the city of Amsterdam, the University of Amsterdam is the third-oldest university in the Netherlands. It is one of the largest research universities in Europe with 31,186 students, 4,794 staff, 1,340 PhD students and an annual budget of €600 million. It is the largest university in the Netherlands by enrollment. The main campus is located in central Amsterdam, with a few faculties located in adjacent boroughs. The university is organised into seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Science, Law, Medicine, Dentistry.
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